3 papers
cs.LG2026
Phase Transition Frequency as a Training Time Predictor of Test Accuracy in ResNets
Arunan J
The number of discrete class-separability jumps observed during ResNet finetuning is examined empirically as a predictor of final test accuracy. Across 75 experiments spanning four…
cs.LG2026
Tight Sample Complexity for Low-Rank Adaptation: Matching Bounds and Rank Selection
Arunan J
Low-Rank Adaptation (LoRA) has become the standard mechanism for fine-tuning large pretrained models, yet its statistical properties remain only partially understood. Existing gene…
cs.LG2026
Detecting Neural Network Failures through Spectral Analysis of Internal Activations
Arunan J
Neural network misclassifications exhibit characteristic spectral instability in internal activations that is invisible at the output layer. This phenomenon is identified and forma…